5 Python Repos That Do 80% Of The Heavy Lifting (And You Don't Use Them)

Web Reference: Dec 18, 2024 · 万分之五怎么写?0.5% 0.5‰ 5‰ ?到底是那个啊?谢谢万分之五的表示方式需要根据单位的不同进行转换。如果我们讨论的是百分比的话，万分之五可以直接表示为5‰，这里的‰代表千分位。但如果我们要将其转换为百分比的 5的倍数的个位数字非0即5。 奇数 ADE曲线一共有5类。 有理二重点一共有5类。 伽罗华理论：5次方程不再有求解公式，小于5次的方程却都有求解公式。 著名的矩阵博士在计算机出现之前就预言，π的第一百万位是5，结果真是5，至今无人知晓矩阵博士是如何得知的。 Jul 3, 2025 · 百分比（%）是表示一个数是另一个数的百分之几的数，也叫百分率或百分比率。 它通常用于表示比例关系，如5%表示“五百分之一百”，即1/20。 而万分率（‰）则用于表示更精细的比例关系，如0.5‰表示“万分之五”，即5/10000。 四、为何万分之五不能用%直接 ...

YouTube Excerpt: These are some of the most starred, most downloaded, most impactful Python repositories on all of GitHub — and there's a good chance you haven't actually used most of them. You've heard the names. You've maybe starred them. But have you actually installed them and put them to work? In this video we cover: Public APIs (325K+ stars) — The single largest collection of free public APIs on the internet. Over 1,400 APIs organized by category — weather, finance, games, music, AI, government, animals, and more. Whatever you're building, there's an API here for it. This repo alone can power your next 10 side projects. Awesome Python (230K+ stars) — The curated master list of Python frameworks, libraries, and tools. Every category you can think of — web, data, testing, CLI, async, networking, DevOps. Whenever you think "there must be a Python library for this," the answer is in here. Scikit-learn (65K+ stars) — The most important machine learning library that isn't a deep learning framework. Classification, regression, clustering, dimensionality reduction, model selection, preprocessing — all in a clean, consistent API. If you use Python and haven't touched ML yet, this is where you start. Keras (63K+ stars) — The deep learning library designed for humans. Now multi-backend, working with TensorFlow, JAX, and PyTorch. Keras made neural networks accessible to normal developers — not just researchers. If scikit-learn is ML 101, Keras is your deep learning on-ramp. Black (39K+ stars) — The uncompromising Python code formatter. One command, zero configuration, and your entire codebase is consistent forever. Used by Django, SQLAlchemy, Pytest, and thousands of production codebases. Takes 30 seconds to set up, saves hours of style arguments for life. Five repos. 720K+ combined stars. Each one can upgrade your Python workflow today. 00:07 - psf/black https://github.com/psf/black 00:41 - public-apis/public-apis https://github.com/public-apis/public-apis 01:24 - vinta/awesome-python https://github.com/vinta/awesome-python 01:55 - scikit-learn/scikit-learn https://github.com/scikit-learn/scikit-learn 02:25 - keras-team/keras https://github.com/keras-team/keras 🔗 REPOS: Public APIs: https://github.com/public-apis/public-apis Awesome Python: https://github.com/vinta/awesome-python Scikit-learn: https://github.com/scikit-learn/scikit-learn Keras: https://github.com/keras-team/keras Black: https://github.com/psf/black 💬 Which of these have you actually used? Be honest in the comments! 👍 Like, subscribe, and hit the bell for more GitHub trends! #Python #GitHub #OpenSource #PublicAPIs #AwesomePython #ScikitLearn #Keras #Black #PythonDeveloper #MachineLearning #DeepLearning #CodeFormatter #DeveloperTools #GitHubTrends #PythonTips #LearnPython #PythonLibraries #DataScience #PythonTools #Programming #BestPythonRepos #PythonFrameworks #FreeAPIs #PythonML #CodingTips

These are some of the most starred, most downloaded, most impactful Python repositories on all of GitHub — and there's a good chance you haven't...

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